subscore: Computing Subscores in Classical Test Theory and Item Response Theory
Version 2.0

Functions for computing subscores for a test using different methods in both classical test theory (CTT) and item response theory (IRT). This package enables three sets of subscoring methods within the framework of CTT and IRT: Wainer's augmentation method, Haberman's three subscoring methods, and Yen's objective performance index (OPI). The package also includes the function to compute Proportional Reduction of Mean Squared Errors (PRMSEs) in Haberman's methods which are used to examine whether test subscores are of added value.

Getting started

Package details

AuthorShenghai Dai [aut, cre], Xiaolin Wang [aut], Dubravka Svetina [aut]
Date of publication2016-12-03 00:53:13
MaintainerShenghai Dai <dais@indiana.edu>
LicenseGPL (>= 2)
Version2.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("subscore")

Try the subscore package in your browser

Any scripts or data that you put into this service are public.

subscore documentation built on May 29, 2017, 10:55 a.m.